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Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project.

Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project.

Authors :
Bresso E
Ferreira JP
Girerd N
Kobayashi M
Preud'homme G
Rossignol P
Zannad F
Devignes MD
Smaïl-Tabbone M
Source :
Journal of biomedical informatics [J Biomed Inform] 2022 Nov; Vol. 135, pp. 104212. Date of Electronic Publication: 2022 Sep 28.
Publication Year :
2022

Abstract

Machine learning is now an essential part of any biomedical study but its integration into real effective Learning Health Systems, including the whole process of Knowledge Discovery from Data (KDD), is not yet realised. We propose an original extension of the KDD process model that involves an inductive database. We designed for the first time a generic model of Inductive Clinical DataBase (ICDB) aimed at hosting both patient data and learned models. We report experiments conducted on patient data in the frame of a project dedicated to fight heart failure. The results show how the ICDB approach allows to identify biomarker combinations, specific and predictive of heart fibrosis phenotype, that put forward hypotheses relative to underlying mechanisms. Two main scenarios were considered, a local-to-global KDD scenario and a trans-cohort alignment scenario. This promising proof of concept enables us to draw the contours of a next-generation Knowledge Discovery Environment (KDE).<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1532-0480
Volume :
135
Database :
MEDLINE
Journal :
Journal of biomedical informatics
Publication Type :
Academic Journal
Accession number :
36182054
Full Text :
https://doi.org/10.1016/j.jbi.2022.104212